U.S. patent application number 17/629965 was filed with the patent office on 2022-08-11 for a computer-implemented method for reading a digital graphical diagram representing an electric circuit.
The applicant listed for this patent is ABB S.p.A.. Invention is credited to Antonello Antoniazzi, Matteo Matteucci, Gabriele Perrone.
Application Number | 20220254181 17/629965 |
Document ID | / |
Family ID | |
Filed Date | 2022-08-11 |
United States Patent
Application |
20220254181 |
Kind Code |
A1 |
Antoniazzi; Antonello ; et
al. |
August 11, 2022 |
A COMPUTER-IMPLEMENTED METHOD FOR READING A DIGITAL GRAPHICAL
DIAGRAM REPRESENTING AN ELECTRIC CIRCUIT
Abstract
A method for reading a digital graphical diagram representing an
electric circuit is provided. The graphical diagram includes one or
more diagram pages, each representing a portion of the electric
circuit. The method includes for each diagram page detecting the
graphical objects included in the diagram page, for each diagram
page basing on the detected graphical objects, obtaining predictive
information related to the components included in the portion of
electric circuit represented in the diagram page, and for each
diagram page harmonizing the predictive information related to the
components of the portion of electric circuit represented in the
diagram page to obtain an identification list of the components of
the electric circuit.
Inventors: |
Antoniazzi; Antonello;
(Milano, IT) ; Matteucci; Matteo; (Saronno (VA),
IT) ; Perrone; Gabriele; (Milano, IT) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
ABB S.p.A. |
Milano |
|
IT |
|
|
Appl. No.: |
17/629965 |
Filed: |
May 14, 2020 |
PCT Filed: |
May 14, 2020 |
PCT NO: |
PCT/EP2020/063517 |
371 Date: |
January 25, 2022 |
International
Class: |
G06V 30/422 20060101
G06V030/422; G06V 30/412 20060101 G06V030/412; G06V 30/146 20060101
G06V030/146 |
Foreign Application Data
Date |
Code |
Application Number |
Jul 25, 2019 |
EP |
19188378.4 |
Claims
1. A method for reading a digital graphical diagram representing an
electric circuit, the graphical diagram including one or more
diagram pages, each representing a portion of the electric circuit,
wherein each diagram page includes one or more graphical objects
and one or more graphical connectors, wherein each graphical object
is formed by a component object representing a component of the
electric circuit or by a text object representing a text area of
the graphical diagram or by a table object representing a table
area of the graphical diagram, and wherein each graphical connector
represents an electrical connection linking at least two components
of the electric circuit, it the method comprising: for each diagram
page, detecting the graphical objects included in the diagram page;
for each diagram page, basing on the detected graphical objects,
obtaining predictive information related to the components included
in a portion of electric circuit represented in the diagram page;
and for each diagram page, harmonizing predictive information
related to the components of the portion of electric circuit
represented in the diagram page and providing an identification
list of the components of the electric circuit.
2. The method according to claim 1, wherein the method further
comprises extracting, from the identification list, information
about the properties of the components included of the electric
circuit .
3. The method according to claim 1, wherein detecting the graphical
objects included in the diagram page includes obtaining
identification data related to the detected graphical objects, the
identification data including predictive information related to
class, position, and size of the detected graphical objects.
4. The method according to claim 3, wherein obtaining predictive
information related to the components included in a portion of
electric circuit represented in the diagram page includes merging
and harmonizing the identification data related to the detected
graphical objects of the diagram page.
5. The method according to claim 1, wherein obtaining predictive
information related to the components included in a portion of
electric circuit represented in the diagram page includes detecting
one or more graphical connectors among detected component objects
of the diagram page.
6. The method according to claim 1, wherein obtaining predictive
information related to the components included in a portion of
electric circuit represented in the diagram page includes assigning
one or more detected text objects or table objects of the diagram
page to one or more detected component objects of the diagram
page.
7. The method according to claim 1, wherein the method further
comprises pre-processing a graphical file including the graphical
diagram in digital format by: converting the graphical file into a
first image file including the graphical diagram in digital format;
splitting the first image file into one or more second image files,
each including a diagram page in digital format; and if necessary,
reducing the size of the second image files.
8. The method according to claim 1, wherein the method further
comprises obtaining, for each diagram page, one or more first crop
portions of the diagram page, the first crop portions including
partially overlapped regions of the diagram page.
9. The method according to claim 8, wherein obtaining one or more
first crop portions of the diagram page includes splitting a second
image file related to the diagram page into a batch of third image
files, each including a first crop portion of the diagram page in
digital format.
10. The method according to claim 1, wherein the method further
comprises obtaining, for each diagram page, additional predictive
information related to the components of the portion of electric
circuit represented in the diagram page by: for each diagram page,
obtaining one or more second crop portions of the diagram page, the
second crop portions formed by text areas or table areas the
graphical diagram at said the diagram page; for each diagram page,
detecting text strings included in the second crop portions of the
diagram page; and for each diagram page, basing on the detected
text strings, obtaining predictive information related to assigning
one or more detected text objects or table objects included in the
diagram page to one or more detected component objects of the
diagram page.
11. The method according to claim 10, wherein obtaining one or more
second crop portions of the diagram page includes splitting a
second image file related to the diagram page into a batch of
fourth image files, each including a second crop portion of the
diagram page in digital format.
12. The method according to claim 1, wherein the electric circuit
is an electric power distribution grid.
13. A computer program, stored in a storage medium, wherein the
computer program comprises software instructions configured to
implement the method according to claim 1, upon execution by a
computerized device or platform.
14. A computerized device or platform, wherein the computerized
device or platform is configured to execute software instructions
to implement the method according to claim 1.
Description
CROSS REFERENCE TO RELATED APPLICATIONS
[0001] This patent application is a National Stage Entry of
PCT/EP2020/063517 filed on May 14, 2020, which claims the benefit
and priority of European Patent Application No. 19188378.4 filed on
Jul. 25, 2019, the disclosures of which are incorporated by
reference herein in their entirety as part of the present
application.
BACKGROUND
[0002] The present disclosure relates to a method for reading a
digital graphical diagram including an electric circuit, for
example an electric power distribution grid.
[0003] As is known, an electric circuit, such as an electric power
distribution grid, may be graphically described in digital format
using different semantics for representing the electrical
components and the electrical connections of the electric
circuit.
[0004] In general, information content and graphical symbols
adopted in a graphical diagram depend on the software program used
to design the electric circuit and/or on the personal choice of the
circuit designer.
[0005] Examples of different digital graphical diagrams
representing electric circuits are schematically shown in FIGS.
1-3. It is apparent how each graphical diagram includes different
information content and adopts a different semantics to represent
components and their electrical connections.
[0006] Graphical diagrams related to electric circuits need often
to be combined, updated, or further processed, e.g. for the purpose
of generating a BOM (Bill of Materials) or preparing a commercial
offer related to an electric power distribution plant to be
installed.
[0007] Nowadays, due to the available variety of information
details and semantics to describe electric circuits, all these
activities generally entail the intervention of highly specialized
and skilled personnel and are time-consuming/expensive to carry
out.
BRIEF DESCRIPTION
[0008] Embodiments of the present disclosure provide a method for
reading a digital graphical diagram including an electric circuit,
which allows solving or mitigating the technical problems evidenced
above.
[0009] One embodiment of the present disclosure provides a method
that allows collecting information about the structure of an
electric circuit represented in a digital graphical diagram in a
quick and effective way.
[0010] Another embodiment of the present disclosure provides a
method that can be easily carried out even by non-specialized
operators.
[0011] Another embodiment of the present disclosure provides a
method that can be easily computer-implemented without the adoption
of expensive processing resources.
[0012] These embodiments of the present disclosure are achieved by
a method for reading a digital graphical diagram including an
electric circuit, according to the following claim 1 and the
related dependent claims.
[0013] In a general definition, the method, according to the
disclosure, includes the following steps:
[0014] for each diagram page, detecting the graphical objects
included in said diagram page;
[0015] for each diagram page, basing on the detected graphical
objects, obtaining predictive information related to the components
included in the portion of electric circuit represented in said
diagram page; and
[0016] for each diagram page, harmonizing predictive information
related to the components of the portion of electric circuit
represented in said diagram page and providing an identification
list of the components said electric circuit.
[0017] According to an aspect of the present disclosure, the step
of detecting the graphical objects included in each said diagram
page includes obtaining identification data related to the detected
graphical objects. Said identification data conveniently include
predictive information related to the class, the position, and the
size of the detected graphical objects.
[0018] According to an aspect of the present disclosure, the step
of obtaining predictive information related to the components of
the portion of electric circuit represented in said diagram page
includes merging and harmonizing the identification data related to
the detected graphical objects of said diagram page.
[0019] According to an aspect of the present disclosure, the step
of obtaining predictive information related to the components of
the portion of electric circuit represented in said diagram page
includes detecting one or more graphical connectors among detected
component objects of said diagram page.
[0020] According to an aspect of the present disclosure, the step
of obtaining predictive information related to the components of
the portion of electric circuit represented in said diagram page
includes assigning one or more detected text objects or table
objects of said diagram page to one or more detected component
objects of said diagram page.
[0021] According to an aspect of the present disclosure, the method
includes a step of obtaining, for each diagram page, one or more
first crop portions of said diagram page. Each first crop portion
includes partially overlapped regions of the corresponding diagram
page.
[0022] According to an aspect of the present disclosure, the method
includes a step of obtaining, for each diagram page, additional
predictive information related to the components of the portion of
electric circuit represented in said diagram page.
[0023] Such a step of obtaining additional predictive information
includes:
[0024] for each diagram page, obtaining one or more second crop
portions of said diagram page, said second crop portions being
formed by text areas or table areas of said graphical diagram at
said diagram page;
[0025] for each diagram page, detecting text strings included in
the second crop portions of said diagram page; and
[0026] for each diagram page, basing on the detected text strings,
obtaining predictive information related to assigning one or more
detected text objects or table objects included in said diagram
page to one or more detected component objects of said diagram
page.
[0027] According to an aspect of the present disclosure, the method
includes a step of pre-processing a graphical file including said
graphical diagram in digital format.
[0028] Such a pre-processing step includes:
[0029] converting said graphical file into a first image file
including said graphical diagram in digital format;
[0030] splitting said first image file into one or more second
image files, each including a diagram page in digital format;
and
[0031] if necessary, reducing the size of said second image
files.
[0032] The above-mentioned step of obtaining the first crop
portions of a diagram page may include splitting a second image
file related to said diagram page into a batch of third image
files, each including a first crop portion said diagram page in
digital format.
[0033] The above-mentioned step of obtaining the second crop
portions of a diagram page may include splitting a second image
file related to said diagram page into a batch of fourth image
files, each including a second crop portion of said diagram page in
digital format.
[0034] According to an aspect of the present disclosure, the method
includes a step of extracting, from the above-mentioned
identification list, information about the properties of the
components included of said electric circuit.
[0035] The method, according to the present disclosure, is
apparently intended for a computer-implementation. In some further
aspects, the present disclosure thus relates to a computer program,
according to the following claim 13, and to a computerized device
or platform, according to the following claim 14.
BRIEF DESCRIPTION OF THE DRAWINGS
[0036] Further characteristics and advantages of the present
disclosure will emerge more clearly from the description of
example, but not exclusive embodiments, of which non-limiting
examples are shown in the attached drawings, in which:
[0037] FIGS. 1-3 are schematic views showing different types of
digital graphical diagrams representing electric circuits; and
[0038] FIGS. 4-8 are schematic views showing the steps of the
method, according to the present disclosure.
DETAILED DESCRIPTION
[0039] With reference to the above-mentioned figures, the present
disclosure refers to a method 1 for reading a graphical diagram 100
in digital format, which represents an electric circuit.
[0040] In principle, the above-mentioned electric circuit may be of
any type.
[0041] The method, according to the disclosure, is however
particularly adapted for reading graphical diagrams related to
extended electric power distribution grids.
[0042] The graphical diagram 100 includes one or more diagram
pages, each representing a portion of the electric circuit
represented.
[0043] An example of graphical diagram is shown in FIG. 4. In this
case, the graphical diagram 100 includes a single page only.
[0044] In practical applications, however, the graphical diagram
100 may have a huge number (e.g. some tens) of diagram pages.
[0045] In general, the graphical diagram 100 may adopt a variety of
graphical symbols of different types to represent components of an
electric circuit and their electrical connections.
[0046] However, regardless of the semantics used to represent said
components and electrical connections, each diagram page of the
graphical diagram 100 may include one or more graphical objects and
one or more graphical connectors (shown in FIG. 4).
[0047] Graphical objects of the graphical diagram 100 generally
relate to components of the electric circuit, text areas, or table
areas of said the graphical diagram. The graphical diagram 100 thus
includes one or more of the following graphical objects: component
objects, text objects, and table objects.
[0048] Component objects of the graphical diagram 100 generally
represent corresponding components of the represented electric
circuit (e.g. an electric load, a circuit breaker. a transformer,
and the like).
[0049] Text objects of the graphical diagram 100 generally
represent corresponding text areas of said graphical diagram.
[0050] Table objects of the graphical diagram 100 generally
represent corresponding text areas of said graphical diagram.
[0051] All these graphical objects may have different size and
configuration depending on the type of the circuit components and
on the semantics used to graphically represent said components.
[0052] Graphical connectors of the graphical diagram 100 generally
relate to electrical connections among two or more components of
the represented electric circuit.
[0053] Each graphical connector may be represented as a single line
linking at least two component objects of the graphical
diagram.
[0054] The steps of the method 1, according to the disclosure, will
be now described in details with reference to its implementation by
a computerized device or platform.
[0055] According to an example embodiment of the disclosure, the
method 1 includes a preliminary step 17 of pre-processing a
graphical file including the graphical diagram 100 in digital
format.
[0056] Conveniently, the graphical file may of the ".pdf" or ".dxg"
type or other similar graphical format.
[0057] The preliminary step 17 of the method 1 may include a
sub-step of converting the above-mentioned graphical file into a
first image file, e.g. of the ".jpg" or ".png" type or other
similar image format. In this way, the above-mentioned graphical
file is converted into a readable matrix of pixels, which is more
adapted for being further processed.
[0058] The preliminary step 17 of the method 1 may include a
sub-step of splitting the above-mentioned first image file into one
or more second image files, each including a diagram page of the
graphical diagram 100.
[0059] This solution allows remarkably reducing the computational
load required to carry out the following main steps of method
1.
[0060] In order to further reduce such a computational load, the
preliminary step 17 of the method 1 may include a sub-step of
reducing, if necessary, the size of one or more second image files
obtained at the previous splitting step.
[0061] Conveniently, image files representing diagram pages of the
graphical diagram 100, which are too huge for being processed in a
reasonable time, are resized to maximum predefined dimensions.
[0062] According to an example embodiment of the disclosure, the
method 1 includes a step 11 of obtaining, for each diagram page of
the graphical diagram 100, one or more first crop portions of said
diagram page (shown in FIG. 5).
[0063] Conveniently, the first crop portions obtained for each
diagram page are selected in such a way to include partially
overlapped regions of said diagram page. In this way, the
probability of missing graphical information located at the borders
of the first crop portions is remarkably reduced.
[0064] Obviously, as shown in FIG. 5, the first crop portions
obtained for each diagram page are tailored in such a way that they
cover the whole image represented in a diagram page.
[0065] In a practical implementation of the method 1, the first
crop portions of each diagram page are obtained by cropping each
second image file related to said diagram page. In this way, a
batch of third image files, each including a first crop portion in
digital format, is obtained.
[0066] The obtaining of the above-mentioned first crop portions is
basically directed to dramatically reduce the computational load
required for detecting graphical objects and the graphical
connectors in each diagram page of the graphical diagram 100.
[0067] The computational load related to the detection process of
the graphical objects included in each diagram page, and more
generally in the graphical diagram 100, can in fact be parallelized
among a number of smaller images, which can be processed more
easily.
[0068] According to the disclosure, the method 1 includes a step 12
of detecting, for each diagram page of the graphical diagram 100,
the graphical objects included in said diagram page, may be in the
first crop portions of said diagram page (shown in FIG. 6).
[0069] As shown in FIG. 6, detected graphical objects may be
component objects, text objects, or table objects.
[0070] The detection step 12 may include obtaining identification
data related to the repeatedly detected graphical objects of each
first crop portion.
[0071] These identification data include predictive information
related to the class (e.g. the type) of each detected graphical
object, the position of each detected graphical object and the size
of each detected graphical object.
[0072] Referring to FIG. 6, practical examples of said
identification data may be the following:
[0073] {detected graphical object #1: class (table area), position
(x1, y1), size (S1)};
[0074] {detected graphical object #2: class (circuit breaker),
position (x2, y2), size (S2)};
[0075] {detected graphical object #3: class (text area), position
(x3, y3), size (S3)}.
[0076] In a practical implementation of the method 1, the detection
step 12 may be carried out by exploiting suitable TM (Template
Matching) algorithms, which may be of known type. As an
alternative, expert systems employing suitably trained neural
networks may be used.
[0077] According to the disclosure, the method 1 includes a step 13
of obtaining, for each diagram page of the graphical diagram 100,
basing on the detected graphical objects, predictive information
related to the components included in the portion of electric
circuit represented in said diagram page.
[0078] In one aspect, the step 13 of the method 1 is directed to
assemble and optimize the predictive information collected at the
previous detection step 12 of the method 1.
[0079] The step 13 of the method 1 may include a sub-step of
merging and harmonizing, for each diagram page of the graphical
diagram 100, the identification data related to the detected
graphical objects of said diagram page.
[0080] Such a merge and harmonization step may include converting
the position coordinates of the detected graphical objects (which
are normally referred to the reference system of the respective
first crop portion) into absolute position coordinates referred to
the reference system of the diagram page.
[0081] In a practical implementation of the method 1, such a
conversion process may be easily carried out by exploiting suitable
conversion algorithms, which may be of known type.
[0082] Such a merge and harmonization step may include deleting
duplicated identification data related to identical detected
graphical objects of each diagram page. Such a filtering process is
made necessary by the circumstance that a same graphical object may
be detected many times, e.g. at adjacent overlapped first crop
portions.
[0083] In practice, for each diagram page of the graphical diagram
100, the predictive information resulting from such a filtering
process will be given by the difference between the union and the
intersection of the predictive information included in the data
related to the detected graphical objects in said diagram page.
[0084] In another aspect, the step 13 of the method 1 is directed
to integrate the predictive information collected at the previous
detection step 12 of the method 1.
[0085] The step 13 of the method 1 may include a sub-step of
detecting one or more graphical connectors among two or more
detected component objects included in said diagram page.
[0086] In this way, for each diagram page, it is possible to
collect predictive information on how the components of the portion
of electric circuit represented in said diagram page are
operatively connected.
[0087] In a practical implementation of the method 1, such a
detection process may be carried out through suitable feature
extraction algorithms of known type, such as LSD (Line Segment
Detection) algorithms, HT (Hough Transform) algorithms, or DSCC
(Directional Singly Connected Chain) algorithms. As an alternative,
expert systems employing suitably trained neural networks may be
used.
[0088] In yet another aspect, the step 13 of the method 1 is
directed to structure the predictive information collected at the
previous detection step 12 of the method 1 in such a way to
reconstruct the whole information content of each diagram page.
[0089] The step 13 of the method 1 may include a sub-step of
assigning, for each diagram page, one or more detected text objects
or table objects included in said diagram page to one or more
detected component objects included in said diagram page.
[0090] Such an assignment process may be carried out according to a
variety of different criteria.
[0091] As an example, proximity criteria may be used: a detected
text object or a table object of diagram page (representing a text
area or a table area of the diagram page) will thus be assigned to
the nearest component object of said diagram page (representing a
component of the electric circuit portion represented in the
diagram page).
[0092] It is evident how the above-described assignment process is
directed to associate, for each diagram page, each text area or
table area of said diagram page to the correct component of the
electric circuit portion represented in said diagram page.
[0093] According to an example embodiment of the disclosure, the
method 1 includes a step 16 of obtaining, for each diagram page,
additional predictive information related to the components of the
portion of electric circuit represented in said diagram page.
[0094] The step 16 of the method 1 is conveniently directed to
recover additional information contents about the components of the
portion of electric circuit represented in each diagram page. Such
additional information contents may be used to improve the quality
of the predictive information collected at the previously-described
steps 12-13 of the method 1.
[0095] The step 16 includes a sub-step of obtaining, for each
diagram page, one or more second crop portions of said diagram
page, which are formed by text areas or table areas of the
graphical diagram 100 at said diagram page (shown in FIG. 7).
[0096] Conveniently, the second crop portions obtained for each
diagram page are tailored in such a way to include only text areas
or table areas of the graphical diagram 100.
[0097] In practical implementation of the method 1, the second crop
portions of each diagram page are obtained by cropping each second
image file related to said diagram page. In this way, for each
diagram page, a batch of fourth image files, each including a
second crop portion in digital format, is obtained.
[0098] For each diagram page, such a batch of fourth image files
can thus be easily processed to extract the information content of
each text area or table area of the graphical diagram 100.
[0099] The step 16 may include a sub-step of detecting, for each
diagram page, the text strings included in each second crop portion
of said diagram page.
[0100] In a practical implementation of the method 1, such a
detection process may be carried out through suitable OCR (Optical
Character Recognition) algorithms of known type.
[0101] The step 16 may include a sub-step of obtaining, for each
diagram page, basing on the detected text strings obtained through
the above-mentioned detection process, predictive information
related to the assignment of a detected text object or table object
of said diagram page to a detected component object included in
said diagram page.
[0102] In a practical implementation of the method 1, such a string
analysis process may be easily carried out using suitable
probabilistic classifiers (e.g. Naive-Bayes classifiers) or
probabilistic decision networks (e.g. Bayesan networks), which may
be of known type.
[0103] As an alternative known RegEx (Regular Expressions)
extraction algorithms suitable to extract information from the
detected text strings may be used.
[0104] The additional predictive information collected at the step
16 of the method 1 allows improving the assignment of a detected
text object or table object of each diagram page to a detected
component object included in said diagram page.
[0105] A detected text object or a table object of diagram page may
be assigned to a component object of said diagram page basing on
the information contained in said text object or table object and
extracted from the text strings detected in said text object or
table object.
[0106] According to the disclosure, the method 1 includes a step 14
of harmonizing, for each diagram page, the predictive information
related to the components of the portion of electric circuit
represented in said diagram page.
[0107] Predictive information related to the components of the
portion of electric circuit represented in said diagram page, which
has been collected at the previously described steps 12, 13 and,
possibly, 16, of the method 1, may in fact be contradictory or
inhomogeneous.
[0108] The step 14 of the method 1 is thus directed to filter the
collected pieces of information in order to eliminate or reduce
possible discrepancies.
[0109] In a practical implementation of the method 1, such a string
analysis process may be carried out basing suitable known selection
algorithms based on predefined rules, e.g. upon assignment a
priority level to each collected piece of information.
[0110] As an alternative, Machine Learning or Graph Network
algorithms of known type may be conveniently used.
[0111] Conveniently, the step 14 of the method 1 includes providing
an identification list of the components of the electric circuit
represented in the graphical diagram 100. Such an identification
list conveniently also includes information about the related
electrical connections and about the text areas or table areas
assigned to said components.
[0112] According to an example embodiment of the disclosure, the
method 1 includes a step 15 of extracting from the above-mentioned
identification list information about the properties of the
components included of said electric circuit.
[0113] Conveniently, such an extraction steps may be carried out by
analyzing the text strings associated to each component of the
electric circuit. To this aim, known RegEx (Regular Expressions)
extraction algorithms may be used.
[0114] It is apparent from the above how the step 15 of the method
1 is directed to improve the quality of information derivable from
the graphical diagram 100 by automatically inferring information
that is implicitly contained in text areas or table areas of the
graphical diagram itself
[0115] The method 1, according to the disclosure, is particularly
suitable for being implemented by a computerized device or
platform.
[0116] In a further aspect, the present disclosure thus relates to
a computerized device or platform is provided with processing
resources capable of executing software instructions stored or
storable in a storage medium to implement the method, according to
the disclosure.
[0117] Such a computerized device or platform may be of any type,
e.g. a desktop or portable computerized device, a server platform,
a cloud-computing platform, and the like.
[0118] In yet a further aspect, the present disclosure thus relates
to a computer program including software instructions stored or
storable in a storage medium to implement the method, according to
the disclosure, when executed by a computerized device or
platform.
[0119] The method 1, according to the disclosure, allows fully
satisfying the above-mentioned aim and objects.
[0120] The method allows collecting information about the structure
of an electric circuit represented in a digital graphical diagram
in a quick and effective way, regardless of the semantics used for
representing the electrical components and the electrical
connections of said electric circuit.
[0121] Graphical diagrams representing electric circuits may thus
be analyzed uniformly and with a high level of accuracy,
independently of the specific skills or experience of the
operator.
[0122] The method is particularly suitable for implementation at
industrial level by means of a computerized device or platform
without requiring particularly powerful and expensive data
processing resources.
* * * * *